Job Description
We are seeking a talented and analytical Data Analyst to join our dynamic team in San Antonio. In this role, you will play a pivotal part in transforming raw data into actionable insights that drive business growth. What sets us apart? We offer a competitive daily pay option, allowing you to access your earnings on the same day you work. If you are passionate about data, visualization, and solving complex problems, we want to hear from you.
Why Join Us?
- Daily Pay Access: Get paid on the same day you work with our instant pay feature.
- Modern Tech Stack: Work with the latest tools including SQL, Python, Tableau, and Power BI.
- Growth Opportunities: Clear pathways for career advancement within a rapidly expanding local firm.
Don't just analyze data—drive decisions. Apply today to become part of San Antonio's growing tech scene.
Responsibilities
- Collect, clean, and validate datasets to ensure accuracy and integrity for reporting purposes.
- Design and develop interactive dashboards and visualizations using Tableau or Power BI to track key performance indicators (KPIs).
- Collaborate with cross-functional stakeholders to identify business needs and translate them into data-driven solutions.
- Perform statistical analysis and trend forecasting to support strategic planning and decision-making processes.
- Document data pipelines, methodologies, and findings to ensure transparency and knowledge sharing.
- Identify trends, patterns, and anomalies in data to provide actionable recommendations to management.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Finance, or a related quantitative field.
- 3+ years of professional experience as a Data Analyst or similar role.
- Proficiency in SQL for querying relational databases (PostgreSQL, MySQL, or Oracle).
- Strong experience with data visualization tools (Tableau, Power BI, or Looker).
- Experience with programming languages such as Python or R for data manipulation.
- Excellent communication skills with the ability to explain complex data concepts to non-technical audiences.
- Must be authorized to work in the United States.